Intuitive Expertise and Perceptual Templates
| Autor: | Michael Harre, Allan Snyder |
|---|---|
| Rok vydání: | 2011 |
| Předmět: |
Artificial neural network
business.industry media_common.quotation_subject Decision theory Task (project management) Philosophy Artificial Intelligence Perceptual learning Perception Encoding (memory) Component (UML) Quality (business) Artificial intelligence Psychology business media_common Cognitive psychology |
| Zdroj: | Minds and Machines. 22:167-182 |
| ISSN: | 1572-8641 0924-6495 |
| DOI: | 10.1007/s11023-011-9264-9 |
| Popis: | We provide the first demonstration of an artificial neural network encoding the perceptual templates that form an important component of the high level strategic understanding developed by experts. Experts have a highly refined sense of knowing where to look, what information is important and what information to ignore. The conclusions these experts reach are of a higher quality and typically made in a shorter amount of time than those of non-experts. Understanding the manifestation of such abilities in terms of both the psychology of expert performance and the underlying neural mechanisms constitutes one of the most challenging problems in the cognitive sciences. Using perceptual templates we show how the amount of contextual information can change significantly even within a given task, the relationship between local and non-local contexts and finally why there is very little correlation between measures of intelligence and level of expertise in many of the most complex tasks performed by humans. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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